Image Analysis and Recognition 11th International Conference ICIAR 2014 Vilamoura Portugal October 22 24 2014 Proceedings Part II 1st Edition by Aurélio Campilho, Mohamed Kamel 3642312984 9783642312984

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ISBN-10 ‏ : ‎3642312984 

ISBN-13 ‏ : ‎ 9783642312984

Author: Aurélio Campilho, Mohamed Kamel 

The two-volume set LNCS 7324/7325 constitutes the refereed proceedings of the 9th International Conference on Image and Recognition, ICIAR 2012, held in Aveiro, Portugal, in June 2012. The 107 revised full papers presented were carefully reviewed and selected from 207 submissions. The papers are organized in topical sections on clustering and classification; image processing; image analysis; motion analysis and tracking; shape representation; 3D imaging; applications; biometrics and face recognition; human activity recognition; biomedical image analysis; retinal image analysis; and call detection and modeling.

Image Analysis and Recognition 11th International Conference ICIAR 2014 Vilamoura Portugal October 22 24 2014 Proceedings Part II 1st Table of contents:

1. Biometrics and Face Recognition
   Multi-stage Visible Wavelength and Near Infrared Iris Segmentation Framework
   Introduction
   Previous Work
   Proposed Iris Segmentation Algorithm
   Image Enhancement
   Center Point Detection
   Polar Boundary Detection
   Experiments
   Conclusion
   References
2. Two Unconstrained Biometric Databases
   Introduction
   Biometric Databases
   Databases Overview
   Fingerprint Singular Point Detection Competition Database
   Hand Geometric Point Detection Competition Database
   Conclusion
   References
3. Multibiometric System Using Level Set Method and Particle Swarm Optimization
   Introduction
   Preprocessing and Feature Extraction
   Feature Ranking Using Particle Swarm Optimization (PSO)
   Results and Analysis
   Conclusions
   References
4. Explicit Integration of Identity Information from Skin Regions to Improve Face Recognition
   Introduction
   Overview of the Proposed Algorithm
   Global Feature Extraction
   Skin Feature Extraction
   Forehead Classification via Sparse Representation Classifier
   Fusion Technique
   Experimental Results
   Performance of the Whole-Face channel
   Performance of the Pure-Skin Channel
   Performance of the Combined Channels
   Comparison with the State-of-the-Art Techniques
   Conclusion and Future Work
   References
5. Hand-Geometry Based Recognition System
   Introduction
   Database
   Image Binarization
   Contour Extraction and Hand Alignment
   Characteristic Points
   Recognition – Feature Matching
   Conclusion
   References
6. Local Gradient Increasing Pattern (LGIP) for Facial Representation and Gender Recognition
   Introduction
   Local Gradient Increasing Pattern (LGIP)
   Gender Recognition Using LGIP
   Facial Representation Using LGIP
   Gender Recognition Using SVM Classifier
   Experimental Results
   Conclusion
   References
7. Quality-Based Fingerprint Segmentation
   Introduction
   Background Theory
   Literature Survey
   Methodology
   Proposed Approach
   Post-processing
   Results and Performance Evaluation
   Conclusion
   References
8. A New Multi-camera Based Facial Expression Analysis Concept
   Introduction
   Suggested Concept
   Generic 3-D Face Model
   Multi-camera Based Pose Estimation
   Facial Feature Extraction and Classification
   Experimental Results
   Conclusion and Outlook
   References
9. Entropy in Biometric Face Template Analysis
   Introduction
   Selection and Updating: Quality vs. Representativeness
   Template Analysis Based on Entropy
   Gallery Entropy for Template Selection
   Gallery Entropy for People Identification
   Experimental Setup
   Conclusions
   References
10. Combining Face with Face-Part Detectors under Gaussian Assumption
    Introduction
    Related Work
    Proposed System
    Combining Face and Face-Part Classifiers
    The Viola-Jones Approach
    Experiments
    Summary
    References
11. Generalized Local Discriminant Embedding for Face Recognition
    Introduction
    Local Discriminant Embedding
    Exponential LDE
    Performance Evaluation
    Conclusion
    References
    Human Activity Recognition
    Depth Information in Human Gait Analysis: An Experimental Study on Gender Recognition
    Introduction
    Related Databases
    The DGait Database
    Intended Uses and Challenges
    Application to Gender Classification
    Feature Extraction
    Gender Classification
    Summary and Conclusions
    References
12. A Depth Camera Based Fall Recognition System for the Elderly
    Introduction
    System Overview
    Motion History Image
    Three-Dimensional Motion History Images (3D-MHIs)
    Hu Moment
    Support Vector Machines (SVM)
    Experiment and Results
    Dataset Construction
    Dataset Structure
    Experimental Results
    Conclusion and Future Work
    References
13. Heuristic and Voxel-Based Signature for Hand Posture Recognition Using a Range Camera
    Related Work
    Overall Objective and Sensor Used
    Overview of the Proposed Framework
    Application on the Alphabet of the American Sign Language
    Comparison with Other Features and Classifiers
    Real-Time Application
    Conclusion and Future Work
    References
14. A Compound Eigenspace for Recognizing Directed Human Activities
    Introduction
    Human Activity Representation
    Activity Recognition Model
    Training
    Testing
    Implementation Results
    Conclusions
    References
15. Hand Detection and Tracking Using the Skeleton of the Blob for Medical Rehabilitation Applications
    Introduction
    State of the Art
    Setup and Segmentation
    Skeleton Computation
    Point Finding and Tracking
    Virtual Reality Application
    Conclusion and Future Work
    References
16. Biomedical Image Analysis
    Denoising 3D Medical Images Using a Second Order Variational Model and Wavelet Shrinkage
    Introduction
    Three-Dimensional ROF2 Model
    Functional Framework
    Discretization of the ROF2 Model
    3D Image Decomposition Model Using Undecimated Wavelet Shrinkage
    Application to 3D Medical Image Denoising
    Conclusion
    References
17. Robust Impulse-Noise Filtering for Biomedical Images Using Numerical Interpolation
    Introduction
    Noise Model and Proposed Method
    Salt-and-Pepper Noise Model
    Interpolation-Based Noise-Filtering Model
    Experimental Results
    Conclusion
    References
18. Segmenting Multiple Sclerosis Lesions Using a Spatially Constrained K-Nearest Neighbour Approach
    Introduction
    Data
    Preprocessing
    Method
    K-Nearest Neighbour
    Including Neighbourhood Context
    Experiments and Results
    Optimal K and Threshold
    Feature Selection
    Improving Segmentations Using ICM
    Comparing to Other Types of Classification
    Summary
    References
19. A Segmentation Model and Application to Endoscopic Images
    Introduction
    Description of the Model
    Numerical Solution
    Numerical Experiments
    Conclusions
    References
20. Dental X-Ray Image Segmentation and Object Detection Based on Phase Congruency
    Introduction
    Proposed Approach
    Log-Gabor Wavelets
    Denoising
    Experimental Results
    Quantitative Measure
    Conclusion and Future Work
    References
21. Automatic Lane Detection in Chromatography Images
    Introduction
    Lane Detection
    Selection of an Initial Set of Lanes
    Removal of False Lanes
    Detection of Subtle Lanes
    Results
    Conclusions and Future Work
    References
22. Segmentation and Detection of Colorectal Polyps Using Local Polynomial Approximation
    Introduction
    Segmentation
    Preprocessing
    Segmentation
    Detection
    Feature Extraction
    Feature Selection
    Results
    Conclusion
    Results and Their Applicability to the Medical Environment
    Limitations of This Work
    Future Work
    References
23. Hemoglobin and Melanin Quantification on Skin Images
    Introduction
    Materials and Methods
    Model of Skin Optics
    Erythema Index and Melanin Index
    Independent Component Analysis Based Approach
    Non-negative Matrix Factorization Based Approach
    Model-Fitting Based Approach
    Results and Discussion
    Conclusions
    References
24. Lung Tumor Segmentation Using Electric Flow Lines for Graph Cuts
    Introduction
    Methodology
    Rigid Registration
    Electric Flow Lines
    Graph Construction
    Graph Parameters
    Evaluating Results
    Results
    Experiment Data
    Experiment Results
    Discussion
    Conclusion
    References
25. Segmentation and Analysis of the Oral and Nasal Cavities from MR Time Sequences
    Introduction
    Data Collection
    Corpus and Speakers
    Image Acquisition
    Image Segmentation
    Method
    Implementation
    Results and Discussion
    Conclusions and Future Work
    References
26. Automatic Internal Segmentation of Caudate Nucleus for Diagnosis of Attention-Deficit/Hyperactivity
    Introduction
    Method
    Internal Segmentation: Head and Body Separation
    Diagnostic Test
    Results
    Data and Validation Measures
    Caudate Nuclei Segmentation
    Diagnostic Analysis
    Conclusion
    References
27. Automated Segmentation of Brain Tumor Using Optimal Texture Featuresand Support Vector Machine Class
    Introduction
    Method Overview
    Noise Reduction
    Features Extraction Phase
    Dimensionality Reduction Using Genetic Algorithm
    Classification
    The Proposed Method
    Experimental Results
    Conclusions and Perspectives
    References
28. Class-Specific Mahalanobis Distance Metric Learning for Biological Image Classification
    Introduction
    Distance Metric Learning
    Class-Specific Mahalanobis Distance Metric Learning
    Experimental Studies
    Conclusion
    References
29. Supervised Content Based Image Retrieval Using Radiology Reports
    Introduction
    Materials and Methods
    Dataset
    System Description
    Results
    Discussion
    Conclusion
    References
30. Computer Aided Diagnosis of Alzheimer’s Disease from MRI Brain Images
    Introduction
    Slantlet Transform
    Proposed Approach
    Performance Measures
    Experimental Setup and Results
    Conclusion and Future Work
    References
31. Separability Analysis of Color Classes on Dermoscopic Images
    Introduction
    Methods
    Divergence
    Jeffries-Matusita and Transformed Divergence
    Statistic Normality Test
    Results
    Experimental Dataset
    Single Image Training
    Multiple Image Training
    Conclusions
    References
32. Pedicle Detection in Planar Radiographs Based on Image Descriptors
    Introduction
    Materials and Methods
    Feature Descriptors
    Anatomical Structures Detection
    Method Evaluation
    Results and Experiments
    Results
    Discussion
    Conclusions
    References
33. Function-Valued Mappings, Total Variation and Compressed Sensing for diffusion MRI
    Introduction
    A Complete Metric Space (Y,dY) of L2-Valued Mappings
    Application to Diffusion MRI
    Measurement Model for HARDI Signals
    Compressed Sensing of HARDI Data
    Experimental Results
    Concluding Remarks
    References
34. Structure from Motion Based Approaches to 3D Reconstruction in Minimal Invasive Laparoscopy
    Introduction
    Related Work
    Reconstruction Methodology
    Feature Detection and Tracking
    Keyframe Selection
    Keyframe 5-Point Pose Estimation
    Optimal Triangulation
    PnP Resection
    Bundle Adjustment Refinement
    Evaluation
    Data and Models
    KME vs. FME
    Bundle Adjustment Refinement
    Conclusions
    References
35. Non-rigid Diffeomorphic Image Registration of Medical Images Using Polynomial Expansion
    Introduction
    Background
    Polynomial Expansion
    Image Registration Using Polynomial Expansion
    Generic Framework for Non-rigid Image Registration
    Field Accumulation
    Field Regularization
    Results
    Discussion
    References
36. An Illumination Model of the Trachea Appearance in Videobronchoscopy Images
    Introduction
    Trachea Appearance Model
    Experiments
    Conclusions
    References
37. Adaptive Windowing for Optimal Visualization of Medical Images Based on a Structural Fidelity Measur
    Introduction
    Structural Fidelity Measurement
    Finding the Optimal Windowing Function
    Windowing Function Using Piecewise Linear Basis
    Windowing Function Using Family of Sine Basis
    Finding Optimal Windowing Functions
    Conclusion and Future Work
    References
38. Descriptive Image Feature for Object Detection in Medical Images
    Introduction
    Speeded-Up Robust Features (SURF)
    Our Approach
    Interest Point Detection
    Keypoint Description
    Classification
    Vertebra Detection
    Results and Discussion
    Conclusion and Perspectives
    References
39. Retinal Image Analysis
    3D Retinal Vascular Network from Optical Coherence Tomography Data
    Introduction
    2D Vessel Segmentation
    Fundus Images Computation
    Feature Computing
    SVM Model
    3D Vessel Network
    Local Median A-Scans Computation
    In Depth Vessel Location
    Results
    Conclusion
    References
40. The Significance of the Vessel Registration for a Reliable Computation of Arteriovenous Ratio
    Introduction
    Vessel Registration
    Results
    Conclusion and Discussion
    References
    Fast Segmentation of Retinal Blood Vessels Using a Deformable Contour Model
    Introduction
    Materials
    Vessel Tree Segmentation Method
    Creases Detection
    Morphological Vessel Segmentation
    Deformable Contour Model
    Results
    References
41. Detection of Retinal Vascular Bifurcations by Rotation- and Scale-Invariant COSFIRE Filters
    Introduction
    ProposedMethod
    Overview
    Detection of Dominant Orientations by 2D Gabor Filters
    Configuration of a COSFIRE Filter
    Blurring and Shifting Gabor Filter Responses
    COSFIRE Filter (Rotation- and Scale-Invariant) Response
    Experimental Results
    Discussion and Conclusion
    References
42. Detection of Neovascularization for Screening of Proliferative Diabetic Retinopathy
    Introduction
    Proposed Method
    Vascular Pattern Extraction
    Feature Set Formulation
    Classification
    Results
    Conclusion
    References
43. Ensemble Classification System Applied for Retinal Vessel Segmentation on Child Images Containing V
    Introduction
    The CHASE_DB1 Dataset
    Methodology
    The Feature Vector
    Ensemble Classification
    Results and Discussion
    Conclusion
    References
44. Automatic Cup-to-Disc Ratio Estimation Using Active Contours and Color Clustering in Fundus Images
    Introduction
    Algorithm Description
    Vascular Tree Segmentation
    OD Center Localization
    First OD Approximation
    Multi-tolerance Area Opening
    Color Clustering
    Looking for an Smooth Round Area
    CDR Estimation
    Results
    Conclusions
    References
45. Detection of Peri-Papillary Atrophy and RNFL Defect from Retinal Images
    Introduction
    Modeling of Peri-Papillary Atrophy
    Modeling of RNFL Defect
    Classification
    Experiment Results
    Discussion and Conclusion
    References
46. Automatic Photoreceptor Detection in In-Vivo Adaptive Optics Retinal Images: Statistical Validation
    Introduction
    Photoreceptor Detection Algorithm
    Previous Version isbi2011
    What’s New?
    Algorithm Implementation: An Interactive Tool for the Physicians
    Validation
    Material and Methods
    Results
    Conclusion
    References
47. Automatic Detection of Optic Disc from Retinal Fundus Images Using Dynamic Programming
    Introduction
    Method
    Preprocessing
    Vascular-Tree Segmentation
    Vascular-Tree Removal
    Candidate Points Detection and Location of the Optic Disk
    Experimental Results
    Conclusions
    References
48. Automatic Localization of the Optic Disc in Retinal Images Based on the Entropy of Vascular Directio
    Introduction
    Entropy of Vascular Directions
    Methodology for OD Localization
    Vascular Segmentation and Entropy
    OD Location Estimation
    Results
    Conclusions
    References
49. Cell Detection and Modelling
    Automatic Assessment of Leishmania Infection Indexes on In Vitro Macrophage Cell Cultures
    Introduction
    Image Dataset
    Methods
    Pre-processing
    Nuclei and Parasite Detection with Size Selection
    Cytoplasm Segmentation
    Parasite Infection Index Evaluation
    Results
    Conclusions
    References
50. Analysis of Whole Slide Images of Equine Tendinopathy
    Introduction
    Unsupervised Analysis of Equine Tendon Samples
    Tissue Segmentation
    Extraction of Cells
    Feature Extraction
    Tensor-Based Multi-view Spectral Clustering
    Results
    Conclusion
    References
51. Curvelet-Based Texture Description to Classify Intact and Damaged Boar Spermatozoa
    Introduction
    Curvelet Transform
    Image Acquisition and Segmentation
    Characterization of the Acrosome Integrity
    Texture Descriptors Extracted from the Wavelet Transform
    Texture Descriptor Extracted from the Curvelet Transform
    Moments Based Descriptors
    Experiments and Results
    Conclusions
    References
52. Comparison of Methods for Splitting of Touching and Overlapping Macrophages in Fluorescent Microgra
    Introduction
    State of the Art
    Materials and Methods
    Materials
    Preprocessing and Threshold Selection
    Cell Splitting Using the Seeded Hybrid Watershed Transform
    Cell Splitting Using Fast Marching Level Sets
    Cell Splitting Using Graph Cuts
    Performance Measurement
    Parameter Optimization
    Results
    Discussion and Outlook
    References
53. Segmentation of Muscle Fibres in Fluorescence Microscopy Images
    Introduction
    Materials and Methods
    Muscle Biopsy Images
    Detection of Candidate Muscle Fibres
    Variational Level Set
    Watershed Transform
    Results
    Discussion and Future Work
    References
54. Generation of Synthetic Image Datasets for Time-Lapse Fluorescence Microscopy
    Introduction
    State of the Art
    Contribution of This Paper
    Method
    Generation of Static Images
    Generation of Image Sequences
    Application
    Conclusion
    References
55. Cervical Cell Classification Based Exclusively on Nucleus Features
    Introduction
    Materials and Methods
    Study Group
    Feature Generation and Dimensionality Reduction
    Results and Discussion

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